{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "afd55886-5f5b-4794-838e-ef8179fb0394",
   "metadata": {},
   "source": [
    "##### **** These pip installs need to be adapted to use the appropriate release level. Alternatively, The venv running the jupyter lab could be pre-configured with a requirement file that includes the right release. Example for transform developers working from git clone:\n",
    "```\n",
    "make venv \n",
    "source venv/bin/activate \n",
    "pip install jupyterlab\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c45c3c6-e4d7-4e61-8de6-32d61f2ce695",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "## This is here as a reference only\n",
    "# Users and application developers must use the right tag for the latest from pypi\n",
    "%pip install \"data-prep-toolkit-transforms[repo_level_order]\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebf1f782-0e61-485c-8670-81066beb734c",
   "metadata": {},
   "source": [
    "##### ***** Import required classes and modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2a12abc-9460-4e45-8961-873b48a9ab19",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dpk_repo_level_order.ray.runtime import RepoLevelOrder\n",
    "import tempfile"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7234563c-2924-4150-8a31-4aec98c1bf33",
   "metadata": {},
   "source": [
    "##### ***** Setup runtime parameters and invoke the transform"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3df5adf-4717-4a03-864d-9151cd3f134b",
   "metadata": {},
   "source": [
    "##### **** The specified folder will include the transformed parquet files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3015456-14c0-41f0-95e2-df97fceb9190",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "RepoLevelOrder(input_folder='test-data/input',\n",
    "            output_folder= 'output',\n",
    "            run_locally = True,\n",
    "            repo_lvl_sorting_enabled = True,\n",
    "            repo_lvl_output_by_langs = True,\n",
    "            repo_lvl_sorting_algo = \"SORT_SEMANTIC_NORMALISED\",\n",
    "            repo_lvl_store_type = \"local\",\n",
    "            repo_lvl_store_backend_dir = 'tmp',\n",
    "            repo_lvl_language_column= \"language\"\n",
    ").transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7276fe84-6512-4605-ab65-747351e13a7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "glob.glob(\"output/*\")"
   ]
  }
 ],
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   "language": "python",
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